Video retrieval using an MPEG-7 based inference network

Authors:
Andrew Graves;Mounia Lalmas
Affiliations:
Queen Mary, University of London, London, England;Queen Mary, University of London, London, England
Venue:
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Year:
2002

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Abstract

This work proposes a model for video retrieval based upon the inference network model. The document network is constructed using video metadata encoded using MPEG-7 and captures information pertaining to the structural aspects (video breakdown into shots and scenes), conceptual aspects (video, scene and shot content) and contextual aspects (context information about the position of conceptual content within the document). The retrieval process a) exploits the distribution of evidence among the shots to perform ranking of different levels of granularity, b) addresses the idea that evidence may be inherited during evaluation, and c) exploits the contextual information to perform constrained queries.